DataRobot Case Studies Hitting the Bullseye on Cause Marketing with Predictive Analytics

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	Hitting the Bullseye on Cause Marketing with Predictive Analytics DataRobot

Hitting the Bullseye on Cause Marketing with Predictive Analytics

DataRobot

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Functions	Sales & Marketing
Use Cases	Predictive Replenishment
Services	Data Science Services
Challenge	DonorBureau, a small company that provides modeling and segmentation services to nonprofits, was facing the challenge of providing more effective and accurate predictive models to differentiate itself in a competitive market. The company was dealing with over 900 million mail transactions, 140 million donations, and over 40 million individuals, and the predictive modeling demands were mounting. Ideally, they would like to have a large team of data scientists on staff, but those are coveted positions that come at a premium. Building and deploying predictive analytics is time-consuming, budget-breaking, and for the layperson, challenging to implement and maintain. Read More
About Customer	DonorBureau is a small company that has been helping hundreds of nonprofits, fundraising organizations, and agencies maximize their return on investment from their fundraising campaigns since its inception in 2011. Using predictive analytics, DonorBureau provides modeling and segmentation services aimed at improving the efficiency of fundraising appeals. Their proven models help predict how receptive a prospect will be to an organization, with a specific appeal, at a specific time of the year and frequency of contact. Read More
Solution	To overcome their challenge, DonorBureau partnered with DataRobot who provided an automated, highly accurate, fast, and cost-effective Enterprise AI solution, powered by Amazon Web Services (AWS). The powerful algorithms in the DataRobot Managed AI Cloud offering allowed DonorBureau to automatically generate far more accurate models in a fraction of the time. The benefits were immediate and continuous. The team quickly experienced a 10% improvement in accuracy right out of the box, with no fine-tuning and a total cost of ownership amounting to just 25% of their previous expense. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Functions

Sales & Marketing

Use Cases

Predictive Replenishment

Services

Data Science Services

Challenge

DonorBureau, a small company that provides modeling and segmentation services to nonprofits, was facing the challenge of providing more effective and accurate predictive models to differentiate itself in a competitive market. The company was dealing with over 900 million mail transactions, 140 million donations, and over 40 million individuals, and the predictive modeling demands were mounting. Ideally, they would like to have a large team of data scientists on staff, but those are coveted positions that come at a premium. Building and deploying predictive analytics is time-consuming, budget-breaking, and for the layperson, challenging to implement and maintain.

About Customer

DonorBureau is a small company that has been helping hundreds of nonprofits, fundraising organizations, and agencies maximize their return on investment from their fundraising campaigns since its inception in 2011. Using predictive analytics, DonorBureau provides modeling and segmentation services aimed at improving the efficiency of fundraising appeals. Their proven models help predict how receptive a prospect will be to an organization, with a specific appeal, at a specific time of the year and frequency of contact.

Solution

To overcome their challenge, DonorBureau partnered with DataRobot who provided an automated, highly accurate, fast, and cost-effective Enterprise AI solution, powered by Amazon Web Services (AWS). The powerful algorithms in the DataRobot Managed AI Cloud offering allowed DonorBureau to automatically generate far more accurate models in a fraction of the time. The benefits were immediate and continuous. The team quickly experienced a 10% improvement in accuracy right out of the box, with no fine-tuning and a total cost of ownership amounting to just 25% of their previous expense.

Impact #1	DonorBureau was able to automatically generate far more accurate models in a fraction of the time.
Impact #2	The team quickly experienced a 10% improvement in accuracy right out of the box, with no fine-tuning.
Impact #3	The total cost of ownership amounted to just 25% of their previous expense.

Impact #1

DonorBureau was able to automatically generate far more accurate models in a fraction of the time.

Impact #2

The team quickly experienced a 10% improvement in accuracy right out of the box, with no fine-tuning.

Impact #3

The total cost of ownership amounted to just 25% of their previous expense.

Benefit #1	Increase in Lifetime Value per Donor from 25-40%.
Benefit #2	10% improvement in accuracy of predictive models.
Benefit #3	Reduced total cost of ownership to 25% of previous expense.

Benefit #1

Increase in Lifetime Value per Donor from 25-40%.

Benefit #2

10% improvement in accuracy of predictive models.

Benefit #3

Reduced total cost of ownership to 25% of previous expense.

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Overview

Hitting the Bullseye on Cause Marketing with Predictive Analytics

Operational Impact

Quantitative Benefit